notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fiscal-platform",
   "metadata": {},
   "source": [
    "# PHOIBLE\n",
    "\n",
    "An exploratory notebook to inspect the PHOIBLE dataset.\n",
    "\n",
    "PHOIBLE project page: https://phoible.org/  \n",
    "PHOIBLE data on GitHub: https://github.com/phoible/dev/tree/master/data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "incident-grenada",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "seeing-press",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the tabular dataset as Pandas DataFrame\n",
    "df = pd.read_csv('https://raw.githubusercontent.com/phoible/dev/master/data/phoible.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "headed-crawford",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InventoryID</th>\n",
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      ],
      "text/plain": [
       "        InventoryID Glottocode ISO6393        LanguageName SpecificDialect  \\\n",
       "0                 1   kore1280     kor              Korean             NaN   \n",
       "1                 1   kore1280     kor              Korean             NaN   \n",
       "2                 1   kore1280     kor              Korean             NaN   \n",
       "3                 1   kore1280     kor              Korean             NaN   \n",
       "4                 1   kore1280     kor              Korean             NaN   \n",
       "...             ...        ...     ...                 ...             ...   \n",
       "105479         3020   lamu1254     lby  Tableland Lamalama             NaN   \n",
       "105480         3020   lamu1254     lby  Tableland Lamalama             NaN   \n",
       "105481         3020   lamu1254     lby  Tableland Lamalama             NaN   \n",
       "105482         3020   lamu1254     lby  Tableland Lamalama             NaN   \n",
       "105483         3020   lamu1254     lby  Tableland Lamalama             NaN   \n",
       "\n",
       "          GlyphID Phoneme Allophones Marginal SegmentClass  ...  \\\n",
       "0            0068       h      ç h ɦ      NaN    consonant  ...   \n",
       "1            006A       j          j      NaN    consonant  ...   \n",
       "2            006B       k     k̚ ɡ k      NaN    consonant  ...   \n",
       "3       006B+02B0      kʰ         kʰ      NaN    consonant  ...   \n",
       "4       006B+02C0      kˀ         kˀ      NaN    consonant  ...   \n",
       "...           ...     ...        ...      ...          ...  ...   \n",
       "105479       0294       ʔ        NaN    False    consonant  ...   \n",
       "105480       03B8       θ        NaN    False    consonant  ...   \n",
       "105481       0061       a        NaN    False        vowel  ...   \n",
       "105482       0069       i        NaN    False        vowel  ...   \n",
       "105483       0075       u        NaN    False        vowel  ...   \n",
       "\n",
       "       advancedTongueRoot periodicGlottalSource epilaryngealSource  \\\n",
       "0                       -                     -                  -   \n",
       "1                       -                     +                  -   \n",
       "2                       -                     -                  -   \n",
       "3                       -                     -                  -   \n",
       "4                       -                     -                  -   \n",
       "...                   ...                   ...                ...   \n",
       "105479                  -                     -                  -   \n",
       "105480                  -                     -                  -   \n",
       "105481                  -                     +                  -   \n",
       "105482                  -                     +                  -   \n",
       "105483                  -                     +                  -   \n",
       "\n",
       "       spreadGlottis constrictedGlottis fortis lenis raisedLarynxEjective  \\\n",
       "0                  +                  -      -     -                    -   \n",
       "1                  -                  -      -     -                    -   \n",
       "2                  -                  -      -     -                    -   \n",
       "3                  +                  -      -     -                    -   \n",
       "4                  -                  +      -     -                    -   \n",
       "...              ...                ...    ...   ...                  ...   \n",
       "105479             -                  +      -     -                    -   \n",
       "105480             -                  -      -     -                    -   \n",
       "105481             -                  -      0     0                    -   \n",
       "105482             -                  -      0     0                    -   \n",
       "105483             -                  -      0     0                    -   \n",
       "\n",
       "       loweredLarynxImplosive click  \n",
       "0                           -     -  \n",
       "1                           -     -  \n",
       "2                           -     -  \n",
       "3                           -     -  \n",
       "4                           -     -  \n",
       "...                       ...   ...  \n",
       "105479                      -     -  \n",
       "105480                      -     -  \n",
       "105481                      -     0  \n",
       "105482                      -     0  \n",
       "105483                      -     0  \n",
       "\n",
       "[105484 rows x 49 columns]"
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "exempt-router",
   "metadata": {},
   "outputs": [],
   "source": [
    "# map the ISO 6393 language codes to language names (this loses some info since the codes map to multiple variants)\n",
    "languages = dict(df[['ISO6393', 'LanguageName']].dropna().values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "knowing-hygiene",
   "metadata": {},
   "outputs": [],
   "source": [
    "# map language codes to the relevant language rows so we can look up the inventories by language code\n",
    "phoible = {language: df[df['ISO6393'] == language] for language in languages}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "direct-bernard",
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       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6033</th>\n",
       "      <td>160</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0068</td>\n",
       "      <td>h</td>\n",
       "      <td>h ç ɦ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90922</th>\n",
       "      <td>2515</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (Liverpool)</td>\n",
       "      <td>025B</td>\n",
       "      <td>ɛ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90923</th>\n",
       "      <td>2515</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (Liverpool)</td>\n",
       "      <td>025B+0289</td>\n",
       "      <td>ɛʉ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90924</th>\n",
       "      <td>2515</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (Liverpool)</td>\n",
       "      <td>026A</td>\n",
       "      <td>ɪ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90925</th>\n",
       "      <td>2515</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (Liverpool)</td>\n",
       "      <td>0289+02D0</td>\n",
       "      <td>ʉː</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90926</th>\n",
       "      <td>2515</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (Liverpool)</td>\n",
       "      <td>028A</td>\n",
       "      <td>ʊ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>370 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       InventoryID Glottocode ISO6393 LanguageName      SpecificDialect  \\\n",
       "6029           160   stan1293     eng      English                  NaN   \n",
       "6030           160   stan1293     eng      English                  NaN   \n",
       "6031           160   stan1293     eng      English                  NaN   \n",
       "6032           160   stan1293     eng      English                  NaN   \n",
       "6033           160   stan1293     eng      English                  NaN   \n",
       "...            ...        ...     ...          ...                  ...   \n",
       "90922         2515   stan1293     eng      English  English (Liverpool)   \n",
       "90923         2515   stan1293     eng      English  English (Liverpool)   \n",
       "90924         2515   stan1293     eng      English  English (Liverpool)   \n",
       "90925         2515   stan1293     eng      English  English (Liverpool)   \n",
       "90926         2515   stan1293     eng      English  English (Liverpool)   \n",
       "\n",
       "              GlyphID Phoneme               Allophones Marginal SegmentClass  \\\n",
       "6029             0062       b             bⁿ p͉ b̚ b b      NaN    consonant   \n",
       "6030             0064       d  t͉ dˡ d̪ dⁿ ɖ d dz d̚ d      NaN    consonant   \n",
       "6031   0064+0320+0292     d̠ʒ             d̠ʒ t̠ʃ͉ d̠ʒ      NaN    consonant   \n",
       "6032             0066       f                        f      NaN    consonant   \n",
       "6033             0068       h                    h ç ɦ      NaN    consonant   \n",
       "...               ...     ...                      ...      ...          ...   \n",
       "90922            025B       ɛ                      NaN    False        vowel   \n",
       "90923       025B+0289      ɛʉ                      NaN    False        vowel   \n",
       "90924            026A       ɪ                      NaN    False        vowel   \n",
       "90925       0289+02D0      ʉː                      NaN    False        vowel   \n",
       "90926            028A       ʊ                      NaN    False        vowel   \n",
       "\n",
       "       ... advancedTongueRoot periodicGlottalSource epilaryngealSource  \\\n",
       "6029   ...                  -                     +                  -   \n",
       "6030   ...                  -                     +                  -   \n",
       "6031   ...                  -                     +                  -   \n",
       "6032   ...                  -                     -                  -   \n",
       "6033   ...                  -                     -                  -   \n",
       "...    ...                ...                   ...                ...   \n",
       "90922  ...                  -                     +                  -   \n",
       "90923  ...                  -                     +                  -   \n",
       "90924  ...                  -                     +                  -   \n",
       "90925  ...                  -                     +                  -   \n",
       "90926  ...                  -                     +                  -   \n",
       "\n",
       "      spreadGlottis constrictedGlottis fortis lenis raisedLarynxEjective  \\\n",
       "6029              -                  -      -     -                    -   \n",
       "6030              -                  -      -     -                    -   \n",
       "6031              -                  -      -     -                    -   \n",
       "6032              -                  -      -     -                    -   \n",
       "6033              +                  -      -     -                    -   \n",
       "...             ...                ...    ...   ...                  ...   \n",
       "90922             -                  -      0     0                    -   \n",
       "90923             -                  -      0     0                    -   \n",
       "90924             -                  -      0     0                    -   \n",
       "90925             -                  -      0     0                    -   \n",
       "90926             -                  -      0     0                    -   \n",
       "\n",
       "      loweredLarynxImplosive click  \n",
       "6029                       -     -  \n",
       "6030                       -     -  \n",
       "6031                       -     -  \n",
       "6032                       -     -  \n",
       "6033                       -     -  \n",
       "...                      ...   ...  \n",
       "90922                      -     0  \n",
       "90923                      -     0  \n",
       "90924                      -     0  \n",
       "90925                      -     0  \n",
       "90926                      -     0  \n",
       "\n",
       "[370 rows x 49 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phoible['eng']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "convinced-petroleum",
   "metadata": {},
   "outputs": [],
   "source": [
    "# define some helper functions\n",
    "def jaccard(s1, s2):\n",
    "    if len(s1 | s2) == 0:\n",
    "        return 1.0\n",
    "    return len(s1 & s2) / len(s1 | s2)\n",
    "\n",
    "def phonemes(language):\n",
    "    return {phoneme for phoneme in phoible[language]['Phoneme']}\n",
    "\n",
    "def consonants(language):\n",
    "    return {consonant for consonant in phoible[language][phoible[language]['SegmentClass'] == 'consonant']['Phoneme']}\n",
    "\n",
    "def vowels(language):\n",
    "    return {vowel for vowel in phoible[language][phoible[language]['SegmentClass'] == 'vowel']['Phoneme']}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "supposed-average",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "English has 94 phonemes: {'ɪə', 'd', 'k', 'əː', 's', 'iɛ', 'n', 'f', 'ɒ', 'r', 'kx', 'z', 'øː', 'ɐ', 'əʊ', 'e̞', 'ɒː', 'ɜː', 'ei', 'æo', 'a', 'əʉ', 'o̞ː', 'ɔɪ', 'aɪ', 'æɪ', 'j', 'b', 'u', 'aː', 'ɪ', 'eɪ̯', 'ɚ', 'eɪ', 'ɻ', 'ɘ', 'ɑ', 'ʌ', 'eː', 'x', 'pʰ', 'ɐː', 'ʉə', 'v', 'oʊ', 'iə', 'ɑː', 'oɪ', 'w', 'e', 'æɔ', 'ʒ', 'iɪ', 'ŋ', 'æ', 'uː', 'ʍ', 'iː', 'ɚː', 'ɛ', 'ɹ', 'ɛʉ', 'kʰ', 'ɡ', 'ʉː', 'tʰ', 'ʃ', 'oe', 'l', 'p', 'h', 'ɔ', 'aʊ', 'ɵː', 'ə', 'ɑe', 'ɔː', 'oː', 'm', 'ɒɯ', 'ɐʉ', 'ɛː', 't̠ʃ', 'θ', 'ʊə', 'æe', 'i', 'eə', 'd̠ʒ', 'ð', 't', 'ʊ', 'ʔ', 'ts'}\n",
      "... and 34 consonants: {'tʰ', 'd', 'k', 'v', 'ʃ', 's', 'j', 'n', 'f', 'l', 'b', 'w', 'p', 'h', 'ʒ', 'r', 'kx', 'z', 'ŋ', 'm', 'ɻ', 'ʍ', 't̠ʃ', 'θ', 'ɹ', 'd̠ʒ', 'ð', 't', 'kʰ', 'x', 'ʔ', 'pʰ', 'ɡ', 'ts'}\n",
      "... and 60 vowels: {'ɪə', 'o̞ː', 'ʉə', 'ɔɪ', 'oʊ', 'əː', 'aɪ', 'æɪ', 'iə', 'oe', 'iɛ', 'ɑː', 'oɪ', 'ɒ', 'e', 'ɔ', 'u', 'aʊ', 'æɔ', 'aː', 'ɵː', 'ə', 'ɪ', 'ɑe', 'eɪ̯', 'iɪ', 'oː', 'ɔː', 'ɚ', 'eɪ', 'ɒɯ', 'øː', 'æ', 'ɐʉ', 'ɘ', 'uː', 'ɛː', 'ɐ', 'əʊ', 'iː', 'ɑ', 'ɚː', 'ɛ', 'a', 'e̞', 'ʊə', 'ɛʉ', 'æe', 'ɒː', 'ʌ', 'i', 'eə', 'ɜː', 'eː', 'ʊ', 'ei', 'ɐː', 'æo', 'ʉː', 'əʉ'}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# look at the phonemic inventory for English\n",
    "print(f'''{languages['eng']} has {len(phonemes('eng'))} phonemes: {phonemes('eng')}\n",
    "... and {len(consonants('eng'))} consonants: {consonants('eng')}\n",
    "... and {len(vowels('eng'))} vowels: {vowels('eng')}\n",
    "''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "front-smooth",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InventoryID</th>\n",
       "      <th>Glottocode</th>\n",
       "      <th>ISO6393</th>\n",
       "      <th>LanguageName</th>\n",
       "      <th>SpecificDialect</th>\n",
       "      <th>GlyphID</th>\n",
       "      <th>Phoneme</th>\n",
       "      <th>Allophones</th>\n",
       "      <th>Marginal</th>\n",
       "      <th>SegmentClass</th>\n",
       "      <th>...</th>\n",
       "      <th>advancedTongueRoot</th>\n",
       "      <th>periodicGlottalSource</th>\n",
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       "      <th>loweredLarynxImplosive</th>\n",
       "      <th>click</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6065</th>\n",
       "      <td>160</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
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       "      <td>ɜ ə ə ə</td>\n",
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       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
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       "      <td>2175</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English (American)</td>\n",
       "      <td>Western and Mid-Western US; Southern California</td>\n",
       "      <td>0259</td>\n",
       "      <td>ə</td>\n",
       "      <td>ə</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
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       "    <tr>\n",
       "      <th>76553</th>\n",
       "      <td>2178</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English (British)</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>0259</td>\n",
       "      <td>ə</td>\n",
       "      <td>ə</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76638</th>\n",
       "      <td>2180</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English (British)</td>\n",
       "      <td>Tyneside English (spoken in Newcastle)</td>\n",
       "      <td>0259</td>\n",
       "      <td>ə</td>\n",
       "      <td>ə ɐ</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79776</th>\n",
       "      <td>2252</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (RP)</td>\n",
       "      <td>0259</td>\n",
       "      <td>ə</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
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       "      <td>-</td>\n",
       "      <td>-</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>90921</th>\n",
       "      <td>2515</td>\n",
       "      <td>stan1293</td>\n",
       "      <td>eng</td>\n",
       "      <td>English</td>\n",
       "      <td>English (Liverpool)</td>\n",
       "      <td>0259</td>\n",
       "      <td>ə</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
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       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       InventoryID Glottocode ISO6393        LanguageName  \\\n",
       "6065           160   stan1293     eng             English   \n",
       "76430         2175   stan1293     eng  English (American)   \n",
       "76553         2178   stan1293     eng   English (British)   \n",
       "76638         2180   stan1293     eng   English (British)   \n",
       "79776         2252   stan1293     eng             English   \n",
       "90921         2515   stan1293     eng             English   \n",
       "\n",
       "                                       SpecificDialect GlyphID Phoneme  \\\n",
       "6065                                               NaN    0259       ə   \n",
       "76430  Western and Mid-Western US; Southern California    0259       ə   \n",
       "76553                                        Liverpool    0259       ə   \n",
       "76638           Tyneside English (spoken in Newcastle)    0259       ə   \n",
       "79776                                     English (RP)    0259       ə   \n",
       "90921                              English (Liverpool)    0259       ə   \n",
       "\n",
       "      Allophones Marginal SegmentClass  ... advancedTongueRoot  \\\n",
       "6065     ɜ ə ə ə      NaN        vowel  ...                  -   \n",
       "76430          ə    False        vowel  ...                  -   \n",
       "76553          ə    False        vowel  ...                  -   \n",
       "76638        ə ɐ    False        vowel  ...                  -   \n",
       "79776        NaN    False        vowel  ...                  -   \n",
       "90921        NaN    False        vowel  ...                  -   \n",
       "\n",
       "      periodicGlottalSource epilaryngealSource spreadGlottis  \\\n",
       "6065                      +                  -             -   \n",
       "76430                     +                  -             -   \n",
       "76553                     +                  -             -   \n",
       "76638                     +                  -             -   \n",
       "79776                     +                  -             -   \n",
       "90921                     +                  -             -   \n",
       "\n",
       "      constrictedGlottis fortis lenis raisedLarynxEjective  \\\n",
       "6065                   -      0     0                    -   \n",
       "76430                  -      0     0                    -   \n",
       "76553                  -      0     0                    -   \n",
       "76638                  -      0     0                    -   \n",
       "79776                  -      0     0                    -   \n",
       "90921                  -      0     0                    -   \n",
       "\n",
       "      loweredLarynxImplosive click  \n",
       "6065                       -     0  \n",
       "76430                      -     0  \n",
       "76553                      -     0  \n",
       "76638                      -     0  \n",
       "79776                      -     0  \n",
       "90921                      -     0  \n",
       "\n",
       "[6 rows x 49 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at 'ə' across English variants\n",
    "eng = phoible['eng']\n",
    "eng[eng['Phoneme'] == 'ə']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "featured-treaty",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Glottocode</th>\n",
       "      <td>stan1293</td>\n",
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       "    <tr>\n",
       "      <th>ISO6393</th>\n",
       "      <td>eng</td>\n",
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       "    <tr>\n",
       "      <th>LanguageName</th>\n",
       "      <td>English</td>\n",
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       "      <th>SpecificDialect</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>GlyphID</th>\n",
       "      <td>0259</td>\n",
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       "    <tr>\n",
       "      <th>Phoneme</th>\n",
       "      <td>ə</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allophones</th>\n",
       "      <td>ɜ ə ə ə</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>SegmentClass</th>\n",
       "      <td>vowel</td>\n",
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       "    <tr>\n",
       "      <th>Source</th>\n",
       "      <td>spa</td>\n",
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       "    <tr>\n",
       "      <th>tone</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>stress</th>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>syllabic</th>\n",
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       "    <tr>\n",
       "      <th>short</th>\n",
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       "    <tr>\n",
       "      <th>continuant</th>\n",
       "      <td>+</td>\n",
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       "    <tr>\n",
       "      <th>delayedRelease</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>approximant</th>\n",
       "      <td>+</td>\n",
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       "    <tr>\n",
       "      <th>tap</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trill</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nasal</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lateral</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>labial</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>round</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>labiodental</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coronal</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anterior</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distributed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>strident</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dorsal</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>high</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>front</th>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>back</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tense</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retractedTongueRoot</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>advancedTongueRoot</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>periodicGlottalSource</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epilaryngealSource</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spreadGlottis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>constrictedGlottis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fortis</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lenis</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>raisedLarynxEjective</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loweredLarynxImplosive</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>click</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                            6065\n",
       "InventoryID                  160\n",
       "Glottocode              stan1293\n",
       "ISO6393                      eng\n",
       "LanguageName             English\n",
       "SpecificDialect              NaN\n",
       "GlyphID                     0259\n",
       "Phoneme                        ə\n",
       "Allophones               ɜ ə ə ə\n",
       "Marginal                     NaN\n",
       "SegmentClass               vowel\n",
       "Source                       spa\n",
       "tone                           0\n",
       "stress                         -\n",
       "syllabic                       +\n",
       "short                          -\n",
       "long                           -\n",
       "consonantal                    -\n",
       "sonorant                       +\n",
       "continuant                     +\n",
       "delayedRelease                 0\n",
       "approximant                    +\n",
       "tap                            -\n",
       "trill                          -\n",
       "nasal                          -\n",
       "lateral                        -\n",
       "labial                         -\n",
       "round                          0\n",
       "labiodental                    0\n",
       "coronal                        -\n",
       "anterior                       0\n",
       "distributed                    0\n",
       "strident                       0\n",
       "dorsal                         +\n",
       "high                           -\n",
       "low                            -\n",
       "front                          -\n",
       "back                           -\n",
       "tense                          -\n",
       "retractedTongueRoot            -\n",
       "advancedTongueRoot             -\n",
       "periodicGlottalSource          +\n",
       "epilaryngealSource             -\n",
       "spreadGlottis                  -\n",
       "constrictedGlottis             -\n",
       "fortis                         0\n",
       "lenis                          0\n",
       "raisedLarynxEjective           -\n",
       "loweredLarynxImplosive         -\n",
       "click                          0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at the first English 'ə' in more detail\n",
    "pd.DataFrame(eng[eng['Phoneme'] == 'ə'].iloc[0].T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "inclusive-strength",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Israeli Hebrew has 43 phonemes: {'ə̆', 't̠ʃ͉', 's͉', 'd', 'k', 'v', 'ʃ', 's', 'ʁ', 'j', 'n', 'f', 'l', 'b', 'p', 'f͉', 'h', 'e', 'u', 'ʒ', 'r', 'ʃ͉', 'ɪ', 'z', 'ŋ', 'm', 'o', 'ħ', 'χ', 't̠ʃ', 'p͉', 'ɛ', 'ʕ', 'a', 'k͉', 'i', 't', 'ʊ', 'x', 'ʔ', 'ɡ', 't͉', 'ts'}\n",
      "... and 34 consonants: {'t̠ʃ͉', 's͉', 'd', 'k', 'v', 'ʃ', 's', 'ʁ', 'j', 'n', 'f', 'l', 'b', 'p', 'f͉', 'h', 'ʒ', 'r', 'ʃ͉', 'z', 'ŋ', 'm', 'ħ', 'χ', 't̠ʃ', 'p͉', 'ʕ', 'k͉', 't', 'x', 'ʔ', 'ɡ', 't͉', 'ts'}\n",
      "... and 9 vowels: {'ə̆', 'ʊ', 'e', 'u', 'i', 'ɛ', 'ɪ', 'a', 'o'}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# look at the phonemic inventory for Hebrew\n",
    "print(f'''{languages['heb']} has {len(phonemes('heb'))} phonemes: {phonemes('heb')}\n",
    "... and {len(consonants('heb'))} consonants: {consonants('heb')}\n",
    "... and {len(vowels('heb'))} vowels: {vowels('heb')}\n",
    "''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "stainless-upgrade",
   "metadata": {},
   "outputs": [
    {
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       "      <th>4990</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>006F</td>\n",
       "      <td>o</td>\n",
       "      <td>o</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vowel</td>\n",
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       "      <th>4991</th>\n",
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       "      <td>hebr1245</td>\n",
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       "      <td>Modern Hebrew</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>ə̆</td>\n",
       "      <td>ə̆ ə̆</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4992</th>\n",
       "      <td>135</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Modern Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>025B</td>\n",
       "      <td>ɛ</td>\n",
       "      <td>e ɛ ei ɛ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4993</th>\n",
       "      <td>135</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Modern Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>026A</td>\n",
       "      <td>ɪ</td>\n",
       "      <td>ɪ i</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
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       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>135</td>\n",
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       "      <td>Modern Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>028A</td>\n",
       "      <td>ʊ</td>\n",
       "      <td>ʊ</td>\n",
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       "      <td>2189</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Hebrew</td>\n",
       "      <td>Oriental Dialect</td>\n",
       "      <td>0061</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>False</td>\n",
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       "      <td>2189</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Hebrew</td>\n",
       "      <td>Oriental Dialect</td>\n",
       "      <td>0065</td>\n",
       "      <td>e</td>\n",
       "      <td>e ei</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76996</th>\n",
       "      <td>2189</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Hebrew</td>\n",
       "      <td>Oriental Dialect</td>\n",
       "      <td>0069</td>\n",
       "      <td>i</td>\n",
       "      <td>i</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
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       "      <td>0</td>\n",
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       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76997</th>\n",
       "      <td>2189</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Hebrew</td>\n",
       "      <td>Oriental Dialect</td>\n",
       "      <td>006F</td>\n",
       "      <td>o</td>\n",
       "      <td>o</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76998</th>\n",
       "      <td>2189</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Hebrew</td>\n",
       "      <td>Oriental Dialect</td>\n",
       "      <td>0075</td>\n",
       "      <td>u</td>\n",
       "      <td>u</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87904</th>\n",
       "      <td>2449</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Israeli Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0061</td>\n",
       "      <td>a</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87905</th>\n",
       "      <td>2449</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Israeli Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0069</td>\n",
       "      <td>i</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87906</th>\n",
       "      <td>2449</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Israeli Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>006F</td>\n",
       "      <td>o</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87907</th>\n",
       "      <td>2449</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Israeli Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0075</td>\n",
       "      <td>u</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87908</th>\n",
       "      <td>2449</td>\n",
       "      <td>hebr1245</td>\n",
       "      <td>heb</td>\n",
       "      <td>Israeli Hebrew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>025B</td>\n",
       "      <td>ɛ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>vowel</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       InventoryID Glottocode ISO6393    LanguageName   SpecificDialect  \\\n",
       "4989           135   hebr1245     heb   Modern Hebrew               NaN   \n",
       "4990           135   hebr1245     heb   Modern Hebrew               NaN   \n",
       "4991           135   hebr1245     heb   Modern Hebrew               NaN   \n",
       "4992           135   hebr1245     heb   Modern Hebrew               NaN   \n",
       "4993           135   hebr1245     heb   Modern Hebrew               NaN   \n",
       "4994           135   hebr1245     heb   Modern Hebrew               NaN   \n",
       "76994         2189   hebr1245     heb          Hebrew  Oriental Dialect   \n",
       "76995         2189   hebr1245     heb          Hebrew  Oriental Dialect   \n",
       "76996         2189   hebr1245     heb          Hebrew  Oriental Dialect   \n",
       "76997         2189   hebr1245     heb          Hebrew  Oriental Dialect   \n",
       "76998         2189   hebr1245     heb          Hebrew  Oriental Dialect   \n",
       "87904         2449   hebr1245     heb  Israeli Hebrew               NaN   \n",
       "87905         2449   hebr1245     heb  Israeli Hebrew               NaN   \n",
       "87906         2449   hebr1245     heb  Israeli Hebrew               NaN   \n",
       "87907         2449   hebr1245     heb  Israeli Hebrew               NaN   \n",
       "87908         2449   hebr1245     heb  Israeli Hebrew               NaN   \n",
       "\n",
       "         GlyphID Phoneme Allophones Marginal SegmentClass  ...  \\\n",
       "4989        0061       a        ɒ a      NaN        vowel  ...   \n",
       "4990        006F       o          o      NaN        vowel  ...   \n",
       "4991   0259+0306      ə̆      ə̆ ə̆      NaN        vowel  ...   \n",
       "4992        025B       ɛ   e ɛ ei ɛ      NaN        vowel  ...   \n",
       "4993        026A       ɪ        ɪ i      NaN        vowel  ...   \n",
       "4994        028A       ʊ          ʊ      NaN        vowel  ...   \n",
       "76994       0061       a          a    False        vowel  ...   \n",
       "76995       0065       e       e ei    False        vowel  ...   \n",
       "76996       0069       i          i    False        vowel  ...   \n",
       "76997       006F       o          o    False        vowel  ...   \n",
       "76998       0075       u          u    False        vowel  ...   \n",
       "87904       0061       a        NaN    False        vowel  ...   \n",
       "87905       0069       i        NaN    False        vowel  ...   \n",
       "87906       006F       o        NaN    False        vowel  ...   \n",
       "87907       0075       u        NaN    False        vowel  ...   \n",
       "87908       025B       ɛ        NaN    False        vowel  ...   \n",
       "\n",
       "      advancedTongueRoot periodicGlottalSource epilaryngealSource  \\\n",
       "4989                   -                     +                  -   \n",
       "4990                   -                     +                  -   \n",
       "4991                   -                     +                  -   \n",
       "4992                   -                     +                  -   \n",
       "4993                   -                     +                  -   \n",
       "4994                   -                     +                  -   \n",
       "76994                  -                     +                  -   \n",
       "76995                  -                     +                  -   \n",
       "76996                  -                     +                  -   \n",
       "76997                  -                     +                  -   \n",
       "76998                  -                     +                  -   \n",
       "87904                  -                     +                  -   \n",
       "87905                  -                     +                  -   \n",
       "87906                  -                     +                  -   \n",
       "87907                  -                     +                  -   \n",
       "87908                  -                     +                  -   \n",
       "\n",
       "      spreadGlottis constrictedGlottis fortis lenis raisedLarynxEjective  \\\n",
       "4989              -                  -      0     0                    -   \n",
       "4990              -                  -      0     0                    -   \n",
       "4991              -                  -      0     0                    -   \n",
       "4992              -                  -      0     0                    -   \n",
       "4993              -                  -      0     0                    -   \n",
       "4994              -                  -      0     0                    -   \n",
       "76994             -                  -      0     0                    -   \n",
       "76995             -                  -      0     0                    -   \n",
       "76996             -                  -      0     0                    -   \n",
       "76997             -                  -      0     0                    -   \n",
       "76998             -                  -      0     0                    -   \n",
       "87904             -                  -      0     0                    -   \n",
       "87905             -                  -      0     0                    -   \n",
       "87906             -                  -      0     0                    -   \n",
       "87907             -                  -      0     0                    -   \n",
       "87908             -                  -      0     0                    -   \n",
       "\n",
       "      loweredLarynxImplosive click  \n",
       "4989                       -     0  \n",
       "4990                       -     0  \n",
       "4991                       -     0  \n",
       "4992                       -     0  \n",
       "4993                       -     0  \n",
       "4994                       -     0  \n",
       "76994                      -     0  \n",
       "76995                      -     0  \n",
       "76996                      -     0  \n",
       "76997                      -     0  \n",
       "76998                      -     0  \n",
       "87904                      -     0  \n",
       "87905                      -     0  \n",
       "87906                      -     0  \n",
       "87907                      -     0  \n",
       "87908                      -     0  \n",
       "\n",
       "[16 rows x 49 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at Hebrew vowels\n",
    "heb = phoible['heb']\n",
    "heb[heb['SegmentClass'] == 'vowel']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "static-scholar",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>76992</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>InventoryID</th>\n",
       "      <td>2189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glottocode</th>\n",
       "      <td>hebr1245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISO6393</th>\n",
       "      <td>heb</td>\n",
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       "    <tr>\n",
       "      <th>LanguageName</th>\n",
       "      <td>Hebrew</td>\n",
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       "    <tr>\n",
       "      <th>SpecificDialect</th>\n",
       "      <td>Oriental Dialect</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GlyphID</th>\n",
       "      <td>0295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phoneme</th>\n",
       "      <td>ʕ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allophones</th>\n",
       "      <td>ʕ</td>\n",
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       "    <tr>\n",
       "      <th>Marginal</th>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>SegmentClass</th>\n",
       "      <td>consonant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Source</th>\n",
       "      <td>ph</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tone</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stress</th>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>syllabic</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>short</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>long</th>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>consonantal</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sonorant</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>continuant</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delayedRelease</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>approximant</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tap</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trill</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nasal</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lateral</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>labial</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>round</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>labiodental</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coronal</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anterior</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distributed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>strident</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dorsal</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>high</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>front</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>back</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tense</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retractedTongueRoot</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>advancedTongueRoot</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>periodicGlottalSource</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epilaryngealSource</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spreadGlottis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>constrictedGlottis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fortis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lenis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>raisedLarynxEjective</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loweredLarynxImplosive</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>click</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   76992\n",
       "InventoryID                         2189\n",
       "Glottocode                      hebr1245\n",
       "ISO6393                              heb\n",
       "LanguageName                      Hebrew\n",
       "SpecificDialect         Oriental Dialect\n",
       "GlyphID                             0295\n",
       "Phoneme                                ʕ\n",
       "Allophones                             ʕ\n",
       "Marginal                           False\n",
       "SegmentClass                   consonant\n",
       "Source                                ph\n",
       "tone                                   0\n",
       "stress                                 -\n",
       "syllabic                               -\n",
       "short                                  -\n",
       "long                                   -\n",
       "consonantal                            +\n",
       "sonorant                               -\n",
       "continuant                             +\n",
       "delayedRelease                         +\n",
       "approximant                            -\n",
       "tap                                    -\n",
       "trill                                  -\n",
       "nasal                                  -\n",
       "lateral                                -\n",
       "labial                                 -\n",
       "round                                  0\n",
       "labiodental                            0\n",
       "coronal                                -\n",
       "anterior                               0\n",
       "distributed                            0\n",
       "strident                               0\n",
       "dorsal                                 +\n",
       "high                                   -\n",
       "low                                    +\n",
       "front                                  -\n",
       "back                                   +\n",
       "tense                                  0\n",
       "retractedTongueRoot                    +\n",
       "advancedTongueRoot                     -\n",
       "periodicGlottalSource                  +\n",
       "epilaryngealSource                     -\n",
       "spreadGlottis                          -\n",
       "constrictedGlottis                     -\n",
       "fortis                                 -\n",
       "lenis                                  -\n",
       "raisedLarynxEjective                   -\n",
       "loweredLarynxImplosive                 -\n",
       "click                                  -"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at Hebrew 'ʕ' in more detail\n",
    "pd.DataFrame(heb[heb['Phoneme'] == 'ʕ'].iloc[0].T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "above-anthropology",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Japanese has 51 phonemes: {'çː', 'd', '˧', 'ɯ̃', 'k', 'ʃ', 's', 'j', 'n', 'b', 'kː', 'w', 'p', 'e', 'h', 'ɔ', 'u', 'ɾ', 'aː', 'ɔː', 'z', 'ŋ', 'm', 'pː', 'o', 'ɛː', 't̪', 't̠ʃ', 'd̪', 'n̪', 's̪', 'z̪', 'tː', 'iː', 'ɛ', 'd̠', 't̠ʃː', 'tsː', 'i', 'ts', 'd̠ʒ', 't', 'ʃː', 'ʔ', '˥', 'ɡ', 'ɯː', 'ɯ', 'a', 'ɴ', 'sː'}\n",
      "... and 35 consonants: {'çː', 'd', 'k', 'ʃ', 's', 'j', 'n', 'b', 'kː', 'w', 'p', 'h', 'ɾ', 'z', 'ŋ', 'm', 'pː', 't̪', 't̠ʃ', 'd̪', 'n̪', 's̪', 'z̪', 'tː', 'd̠', 't̠ʃː', 'tsː', 'd̠ʒ', 't', 'ʃː', 'ʔ', 'ɡ', 'ts', 'ɴ', 'sː'}\n",
      "... and 14 vowels: {'ɛː', 'ɯ̃', 'ɔ', 'e', 'u', 'i', 'aː', 'iː', 'ɛ', 'ɯː', 'ɔː', 'ɯ', 'a', 'o'}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# look at the phonemic inventory for Japanese\n",
    "print(f'''{languages['jpn']} has {len(phonemes('jpn'))} phonemes: {phonemes('jpn')}\n",
    "... and {len(consonants('jpn'))} consonants: {consonants('jpn')}\n",
    "... and {len(vowels('jpn'))} vowels: {vowels('jpn')}\n",
    "''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "funky-plant",
   "metadata": {},
   "outputs": [
    {
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       "      <td>jpn</td>\n",
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       "      <td>t̠ʃː</td>\n",
       "      <td>t̠ʃː</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
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       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>7544</th>\n",
       "      <td>197</td>\n",
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       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0077</td>\n",
       "      <td>w</td>\n",
       "      <td>w</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
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       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>7545</th>\n",
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       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7546</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>00E7+02D0</td>\n",
       "      <td>çː</td>\n",
       "      <td>çː</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7547</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>014B</td>\n",
       "      <td>ŋ</td>\n",
       "      <td>ŋ ŋ̟ʲ ŋ ŋ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7548</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0261</td>\n",
       "      <td>ɡ</td>\n",
       "      <td>ɡ ɡ ɡ ɡ̟ʲ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7549</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>027E</td>\n",
       "      <td>ɾ</td>\n",
       "      <td>ɾʲ ɾ ɺ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7550</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0283</td>\n",
       "      <td>ʃ</td>\n",
       "      <td>ʃ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7551</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0283+02D0</td>\n",
       "      <td>ʃː</td>\n",
       "      <td>ʃː</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7552</th>\n",
       "      <td>197</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0294</td>\n",
       "      <td>ʔ</td>\n",
       "      <td>ʔ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13337</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0062</td>\n",
       "      <td>b</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13338</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0064+032A</td>\n",
       "      <td>d̪</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13339</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0068</td>\n",
       "      <td>h</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13340</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>006A</td>\n",
       "      <td>j</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13341</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>006B</td>\n",
       "      <td>k</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13342</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>006D</td>\n",
       "      <td>m</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13343</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>006E+032A</td>\n",
       "      <td>n̪</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13344</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0070</td>\n",
       "      <td>p</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13345</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0073+032A</td>\n",
       "      <td>s̪</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13346</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0074+032A</td>\n",
       "      <td>t̪</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13347</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0077</td>\n",
       "      <td>w</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13348</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>007A+032A</td>\n",
       "      <td>z̪</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13349</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0261</td>\n",
       "      <td>ɡ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13350</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0274</td>\n",
       "      <td>ɴ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13351</th>\n",
       "      <td>384</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>JAPANESE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>027E</td>\n",
       "      <td>ɾ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77326</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0062</td>\n",
       "      <td>b</td>\n",
       "      <td>b v̠ β bʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77327</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0064</td>\n",
       "      <td>d</td>\n",
       "      <td>d dʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77328</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0064+0320</td>\n",
       "      <td>d̠</td>\n",
       "      <td>d̠ d̠͓ ɾ l̠ d̠ʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77329</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0068</td>\n",
       "      <td>h</td>\n",
       "      <td>h ç ɸ çː xː ɸː</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77330</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>006A</td>\n",
       "      <td>j</td>\n",
       "      <td>j</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77331</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>006B</td>\n",
       "      <td>k</td>\n",
       "      <td>k kː kʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77332</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>006D</td>\n",
       "      <td>m</td>\n",
       "      <td>m mʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77333</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>006E</td>\n",
       "      <td>n</td>\n",
       "      <td>n nʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77334</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0070</td>\n",
       "      <td>p</td>\n",
       "      <td>p pː pʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77335</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0073</td>\n",
       "      <td>s</td>\n",
       "      <td>s ɕ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77336</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0074</td>\n",
       "      <td>t</td>\n",
       "      <td>t tː tʲ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77337</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0074+0073</td>\n",
       "      <td>ts</td>\n",
       "      <td>ts tːs tɕ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77338</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0077</td>\n",
       "      <td>w</td>\n",
       "      <td>w w̹</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77339</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>007A</td>\n",
       "      <td>z</td>\n",
       "      <td>z ʑ dz dʑ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77340</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0261</td>\n",
       "      <td>ɡ</td>\n",
       "      <td>ɡ ɡʲ ŋ ɣ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77341</th>\n",
       "      <td>2196</td>\n",
       "      <td>nucl1643</td>\n",
       "      <td>jpn</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>Japanese (Tokyo or other areas with similar pi...</td>\n",
       "      <td>0274</td>\n",
       "      <td>ɴ</td>\n",
       "      <td>ɴ</td>\n",
       "      <td>False</td>\n",
       "      <td>consonant</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>+</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>58 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       InventoryID Glottocode ISO6393 LanguageName  \\\n",
       "7526           197   nucl1643     jpn     Japanese   \n",
       "7527           197   nucl1643     jpn     Japanese   \n",
       "7528           197   nucl1643     jpn     Japanese   \n",
       "7529           197   nucl1643     jpn     Japanese   \n",
       "7530           197   nucl1643     jpn     Japanese   \n",
       "7531           197   nucl1643     jpn     Japanese   \n",
       "7532           197   nucl1643     jpn     Japanese   \n",
       "7533           197   nucl1643     jpn     Japanese   \n",
       "7534           197   nucl1643     jpn     Japanese   \n",
       "7535           197   nucl1643     jpn     Japanese   \n",
       "7536           197   nucl1643     jpn     Japanese   \n",
       "7537           197   nucl1643     jpn     Japanese   \n",
       "7538           197   nucl1643     jpn     Japanese   \n",
       "7539           197   nucl1643     jpn     Japanese   \n",
       "7540           197   nucl1643     jpn     Japanese   \n",
       "7541           197   nucl1643     jpn     Japanese   \n",
       "7542           197   nucl1643     jpn     Japanese   \n",
       "7543           197   nucl1643     jpn     Japanese   \n",
       "7544           197   nucl1643     jpn     Japanese   \n",
       "7545           197   nucl1643     jpn     Japanese   \n",
       "7546           197   nucl1643     jpn     Japanese   \n",
       "7547           197   nucl1643     jpn     Japanese   \n",
       "7548           197   nucl1643     jpn     Japanese   \n",
       "7549           197   nucl1643     jpn     Japanese   \n",
       "7550           197   nucl1643     jpn     Japanese   \n",
       "7551           197   nucl1643     jpn     Japanese   \n",
       "7552           197   nucl1643     jpn     Japanese   \n",
       "13337          384   nucl1643     jpn     JAPANESE   \n",
       "13338          384   nucl1643     jpn     JAPANESE   \n",
       "13339          384   nucl1643     jpn     JAPANESE   \n",
       "13340          384   nucl1643     jpn     JAPANESE   \n",
       "13341          384   nucl1643     jpn     JAPANESE   \n",
       "13342          384   nucl1643     jpn     JAPANESE   \n",
       "13343          384   nucl1643     jpn     JAPANESE   \n",
       "13344          384   nucl1643     jpn     JAPANESE   \n",
       "13345          384   nucl1643     jpn     JAPANESE   \n",
       "13346          384   nucl1643     jpn     JAPANESE   \n",
       "13347          384   nucl1643     jpn     JAPANESE   \n",
       "13348          384   nucl1643     jpn     JAPANESE   \n",
       "13349          384   nucl1643     jpn     JAPANESE   \n",
       "13350          384   nucl1643     jpn     JAPANESE   \n",
       "13351          384   nucl1643     jpn     JAPANESE   \n",
       "77326         2196   nucl1643     jpn     Japanese   \n",
       "77327         2196   nucl1643     jpn     Japanese   \n",
       "77328         2196   nucl1643     jpn     Japanese   \n",
       "77329         2196   nucl1643     jpn     Japanese   \n",
       "77330         2196   nucl1643     jpn     Japanese   \n",
       "77331         2196   nucl1643     jpn     Japanese   \n",
       "77332         2196   nucl1643     jpn     Japanese   \n",
       "77333         2196   nucl1643     jpn     Japanese   \n",
       "77334         2196   nucl1643     jpn     Japanese   \n",
       "77335         2196   nucl1643     jpn     Japanese   \n",
       "77336         2196   nucl1643     jpn     Japanese   \n",
       "77337         2196   nucl1643     jpn     Japanese   \n",
       "77338         2196   nucl1643     jpn     Japanese   \n",
       "77339         2196   nucl1643     jpn     Japanese   \n",
       "77340         2196   nucl1643     jpn     Japanese   \n",
       "77341         2196   nucl1643     jpn     Japanese   \n",
       "\n",
       "                                         SpecificDialect              GlyphID  \\\n",
       "7526                                                 NaN                 0062   \n",
       "7527                                                 NaN                 0064   \n",
       "7528                                                 NaN       0064+0320+0292   \n",
       "7529                                                 NaN                 0068   \n",
       "7530                                                 NaN                 006A   \n",
       "7531                                                 NaN                 006B   \n",
       "7532                                                 NaN            006B+02D0   \n",
       "7533                                                 NaN                 006D   \n",
       "7534                                                 NaN                 006E   \n",
       "7535                                                 NaN                 0070   \n",
       "7536                                                 NaN            0070+02D0   \n",
       "7537                                                 NaN                 0073   \n",
       "7538                                                 NaN            0073+02D0   \n",
       "7539                                                 NaN                 0074   \n",
       "7540                                                 NaN       0074+0073+02D0   \n",
       "7541                                                 NaN            0074+02D0   \n",
       "7542                                                 NaN       0074+0320+0283   \n",
       "7543                                                 NaN  0074+0320+0283+02D0   \n",
       "7544                                                 NaN                 0077   \n",
       "7545                                                 NaN                 007A   \n",
       "7546                                                 NaN            00E7+02D0   \n",
       "7547                                                 NaN                 014B   \n",
       "7548                                                 NaN                 0261   \n",
       "7549                                                 NaN                 027E   \n",
       "7550                                                 NaN                 0283   \n",
       "7551                                                 NaN            0283+02D0   \n",
       "7552                                                 NaN                 0294   \n",
       "13337                                                NaN                 0062   \n",
       "13338                                                NaN            0064+032A   \n",
       "13339                                                NaN                 0068   \n",
       "13340                                                NaN                 006A   \n",
       "13341                                                NaN                 006B   \n",
       "13342                                                NaN                 006D   \n",
       "13343                                                NaN            006E+032A   \n",
       "13344                                                NaN                 0070   \n",
       "13345                                                NaN            0073+032A   \n",
       "13346                                                NaN            0074+032A   \n",
       "13347                                                NaN                 0077   \n",
       "13348                                                NaN            007A+032A   \n",
       "13349                                                NaN                 0261   \n",
       "13350                                                NaN                 0274   \n",
       "13351                                                NaN                 027E   \n",
       "77326  Japanese (Tokyo or other areas with similar pi...                 0062   \n",
       "77327  Japanese (Tokyo or other areas with similar pi...                 0064   \n",
       "77328  Japanese (Tokyo or other areas with similar pi...            0064+0320   \n",
       "77329  Japanese (Tokyo or other areas with similar pi...                 0068   \n",
       "77330  Japanese (Tokyo or other areas with similar pi...                 006A   \n",
       "77331  Japanese (Tokyo or other areas with similar pi...                 006B   \n",
       "77332  Japanese (Tokyo or other areas with similar pi...                 006D   \n",
       "77333  Japanese (Tokyo or other areas with similar pi...                 006E   \n",
       "77334  Japanese (Tokyo or other areas with similar pi...                 0070   \n",
       "77335  Japanese (Tokyo or other areas with similar pi...                 0073   \n",
       "77336  Japanese (Tokyo or other areas with similar pi...                 0074   \n",
       "77337  Japanese (Tokyo or other areas with similar pi...            0074+0073   \n",
       "77338  Japanese (Tokyo or other areas with similar pi...                 0077   \n",
       "77339  Japanese (Tokyo or other areas with similar pi...                 007A   \n",
       "77340  Japanese (Tokyo or other areas with similar pi...                 0261   \n",
       "77341  Japanese (Tokyo or other areas with similar pi...                 0274   \n",
       "\n",
       "      Phoneme        Allophones Marginal SegmentClass  ... advancedTongueRoot  \\\n",
       "7526        b              bʲ b      NaN    consonant  ...                  -   \n",
       "7527        d                 d      NaN    consonant  ...                  -   \n",
       "7528      d̠ʒ             ʒ d̠ʒ      NaN    consonant  ...                  -   \n",
       "7529        h  ɸ h ç ɸː fː hʲ f      NaN    consonant  ...                  -   \n",
       "7530        j              j j̥      NaN    consonant  ...                  -   \n",
       "7531        k             k̟ʲ k      NaN    consonant  ...                  -   \n",
       "7532       kː           k̟ʲː kː      NaN    consonant  ...                  -   \n",
       "7533        m              mʲ m      NaN    consonant  ...                  -   \n",
       "7534        n              n nʲ      NaN    consonant  ...                  -   \n",
       "7535        p              pʲ p      NaN    consonant  ...                  -   \n",
       "7536       pː            pː pʲː      NaN    consonant  ...                  -   \n",
       "7537        s                 s      NaN    consonant  ...                  -   \n",
       "7538       sː                sː      NaN    consonant  ...                  -   \n",
       "7539        t              t ts      NaN    consonant  ...                  -   \n",
       "7540      tsː               tsː      NaN    consonant  ...                  -   \n",
       "7541       tː            tː tʲː      NaN    consonant  ...                  -   \n",
       "7542      t̠ʃ               t̠ʃ      NaN    consonant  ...                  -   \n",
       "7543     t̠ʃː              t̠ʃː      NaN    consonant  ...                  -   \n",
       "7544        w                 w      NaN    consonant  ...                  -   \n",
       "7545        z              z dz      NaN    consonant  ...                  -   \n",
       "7546       çː                çː      NaN    consonant  ...                  -   \n",
       "7547        ŋ         ŋ ŋ̟ʲ ŋ ŋ      NaN    consonant  ...                  -   \n",
       "7548        ɡ         ɡ ɡ ɡ ɡ̟ʲ      NaN    consonant  ...                  -   \n",
       "7549        ɾ            ɾʲ ɾ ɺ      NaN    consonant  ...                  -   \n",
       "7550        ʃ                 ʃ      NaN    consonant  ...                  -   \n",
       "7551       ʃː                ʃː      NaN    consonant  ...                  -   \n",
       "7552        ʔ                 ʔ      NaN    consonant  ...                  -   \n",
       "13337       b               NaN    False    consonant  ...                  -   \n",
       "13338      d̪               NaN    False    consonant  ...                  -   \n",
       "13339       h               NaN    False    consonant  ...                  -   \n",
       "13340       j               NaN    False    consonant  ...                  -   \n",
       "13341       k               NaN    False    consonant  ...                  -   \n",
       "13342       m               NaN    False    consonant  ...                  -   \n",
       "13343      n̪               NaN    False    consonant  ...                  -   \n",
       "13344       p               NaN    False    consonant  ...                  -   \n",
       "13345      s̪               NaN    False    consonant  ...                  -   \n",
       "13346      t̪               NaN    False    consonant  ...                  -   \n",
       "13347       w               NaN     True    consonant  ...                  -   \n",
       "13348      z̪               NaN    False    consonant  ...                  -   \n",
       "13349       ɡ               NaN     True    consonant  ...                  -   \n",
       "13350       ɴ               NaN    False    consonant  ...                  -   \n",
       "13351       ɾ               NaN    False    consonant  ...                  -   \n",
       "77326       b         b v̠ β bʲ    False    consonant  ...                  -   \n",
       "77327       d              d dʲ    False    consonant  ...                  -   \n",
       "77328      d̠   d̠ d̠͓ ɾ l̠ d̠ʲ    False    consonant  ...                  -   \n",
       "77329       h    h ç ɸ çː xː ɸː    False    consonant  ...                  -   \n",
       "77330       j                 j    False    consonant  ...                  -   \n",
       "77331       k           k kː kʲ    False    consonant  ...                  -   \n",
       "77332       m              m mʲ    False    consonant  ...                  -   \n",
       "77333       n              n nʲ    False    consonant  ...                  -   \n",
       "77334       p           p pː pʲ    False    consonant  ...                  -   \n",
       "77335       s               s ɕ    False    consonant  ...                  -   \n",
       "77336       t           t tː tʲ    False    consonant  ...                  -   \n",
       "77337      ts         ts tːs tɕ    False    consonant  ...                  -   \n",
       "77338       w              w w̹    False    consonant  ...                  -   \n",
       "77339       z         z ʑ dz dʑ    False    consonant  ...                  -   \n",
       "77340       ɡ          ɡ ɡʲ ŋ ɣ    False    consonant  ...                  -   \n",
       "77341       ɴ                 ɴ    False    consonant  ...                  -   \n",
       "\n",
       "      periodicGlottalSource epilaryngealSource spreadGlottis  \\\n",
       "7526                      +                  -             -   \n",
       "7527                      +                  -             -   \n",
       "7528                      +                  -             -   \n",
       "7529                      -                  -             +   \n",
       "7530                      +                  -             -   \n",
       "7531                      -                  -             -   \n",
       "7532                      -                  -             -   \n",
       "7533                      +                  -             -   \n",
       "7534                      +                  -             -   \n",
       "7535                      -                  -             -   \n",
       "7536                      -                  -             -   \n",
       "7537                      -                  -             -   \n",
       "7538                      -                  -             -   \n",
       "7539                      -                  -             -   \n",
       "7540                      -                  -             -   \n",
       "7541                      -                  -             -   \n",
       "7542                      -                  -             -   \n",
       "7543                      -                  -             -   \n",
       "7544                      +                  -             -   \n",
       "7545                      +                  -             -   \n",
       "7546                      -                  -             -   \n",
       "7547                      +                  -             -   \n",
       "7548                      +                  -             -   \n",
       "7549                      +                  -             -   \n",
       "7550                      -                  -             -   \n",
       "7551                      -                  -             -   \n",
       "7552                      -                  -             -   \n",
       "13337                     +                  -             -   \n",
       "13338                     +                  -             -   \n",
       "13339                     -                  -             +   \n",
       "13340                     +                  -             -   \n",
       "13341                     -                  -             -   \n",
       "13342                     +                  -             -   \n",
       "13343                     +                  -             -   \n",
       "13344                     -                  -             -   \n",
       "13345                     -                  -             -   \n",
       "13346                     -                  -             -   \n",
       "13347                     +                  -             -   \n",
       "13348                     +                  -             -   \n",
       "13349                     +                  -             -   \n",
       "13350                     +                  -             -   \n",
       "13351                     +                  -             -   \n",
       "77326                     +                  -             -   \n",
       "77327                     +                  -             -   \n",
       "77328                     +                  -             -   \n",
       "77329                     -                  -             +   \n",
       "77330                     +                  -             -   \n",
       "77331                     -                  -             -   \n",
       "77332                     +                  -             -   \n",
       "77333                     +                  -             -   \n",
       "77334                     -                  -             -   \n",
       "77335                     -                  -             -   \n",
       "77336                     -                  -             -   \n",
       "77337                     -                  -             -   \n",
       "77338                     +                  -             -   \n",
       "77339                     +                  -             -   \n",
       "77340                     +                  -             -   \n",
       "77341                     +                  -             -   \n",
       "\n",
       "      constrictedGlottis fortis lenis raisedLarynxEjective  \\\n",
       "7526                   -      -     -                    -   \n",
       "7527                   -      -     -                    -   \n",
       "7528                   -      -     -                    -   \n",
       "7529                   -      -     -                    -   \n",
       "7530                   -      -     -                    -   \n",
       "7531                   -      -     -                    -   \n",
       "7532                   -      -     -                    -   \n",
       "7533                   -      -     -                    -   \n",
       "7534                   -      -     -                    -   \n",
       "7535                   -      -     -                    -   \n",
       "7536                   -      -     -                    -   \n",
       "7537                   -      -     -                    -   \n",
       "7538                   -      -     -                    -   \n",
       "7539                   -      -     -                    -   \n",
       "7540                   -      -     -                    -   \n",
       "7541                   -      -     -                    -   \n",
       "7542                   -      -     -                    -   \n",
       "7543                   -      -     -                    -   \n",
       "7544                   -      -     -                    -   \n",
       "7545                   -      -     -                    -   \n",
       "7546                   -      -     -                    -   \n",
       "7547                   -      -     -                    -   \n",
       "7548                   -      -     -                    -   \n",
       "7549                   -      -     -                    -   \n",
       "7550                   -      -     -                    -   \n",
       "7551                   -      -     -                    -   \n",
       "7552                   +      -     -                    -   \n",
       "13337                  -      -     -                    -   \n",
       "13338                  -      -     -                    -   \n",
       "13339                  -      -     -                    -   \n",
       "13340                  -      -     -                    -   \n",
       "13341                  -      -     -                    -   \n",
       "13342                  -      -     -                    -   \n",
       "13343                  -      -     -                    -   \n",
       "13344                  -      -     -                    -   \n",
       "13345                  -      -     -                    -   \n",
       "13346                  -      -     -                    -   \n",
       "13347                  -      -     -                    -   \n",
       "13348                  -      -     -                    -   \n",
       "13349                  -      -     -                    -   \n",
       "13350                  -      -     -                    -   \n",
       "13351                  -      -     -                    -   \n",
       "77326                  -      -     -                    -   \n",
       "77327                  -      -     -                    -   \n",
       "77328                  -      -     -                    -   \n",
       "77329                  -      -     -                    -   \n",
       "77330                  -      -     -                    -   \n",
       "77331                  -      -     -                    -   \n",
       "77332                  -      -     -                    -   \n",
       "77333                  -      -     -                    -   \n",
       "77334                  -      -     -                    -   \n",
       "77335                  -      -     -                    -   \n",
       "77336                  -      -     -                    -   \n",
       "77337                  -      -     -                    -   \n",
       "77338                  -      -     -                    -   \n",
       "77339                  -      -     -                    -   \n",
       "77340                  -      -     -                    -   \n",
       "77341                  -      -     -                    -   \n",
       "\n",
       "      loweredLarynxImplosive click  \n",
       "7526                       -     -  \n",
       "7527                       -     -  \n",
       "7528                       -     -  \n",
       "7529                       -     -  \n",
       "7530                       -     -  \n",
       "7531                       -     -  \n",
       "7532                       -     -  \n",
       "7533                       -     -  \n",
       "7534                       -     -  \n",
       "7535                       -     -  \n",
       "7536                       -     -  \n",
       "7537                       -     -  \n",
       "7538                       -     -  \n",
       "7539                       -     -  \n",
       "7540                       -     -  \n",
       "7541                       -     -  \n",
       "7542                       -     -  \n",
       "7543                       -     -  \n",
       "7544                       -     -  \n",
       "7545                       -     -  \n",
       "7546                       -     -  \n",
       "7547                       -     -  \n",
       "7548                       -     -  \n",
       "7549                       -     -  \n",
       "7550                       -     -  \n",
       "7551                       -     -  \n",
       "7552                       -     -  \n",
       "13337                      -     -  \n",
       "13338                      -     -  \n",
       "13339                      -     -  \n",
       "13340                      -     -  \n",
       "13341                      -     -  \n",
       "13342                      -     -  \n",
       "13343                      -     -  \n",
       "13344                      -     -  \n",
       "13345                      -     -  \n",
       "13346                      -     -  \n",
       "13347                      -     -  \n",
       "13348                      -     -  \n",
       "13349                      -     -  \n",
       "13350                      -     -  \n",
       "13351                      -     -  \n",
       "77326                      -     -  \n",
       "77327                      -     -  \n",
       "77328                      -     -  \n",
       "77329                      -     -  \n",
       "77330                      -     -  \n",
       "77331                      -     -  \n",
       "77332                      -     -  \n",
       "77333                      -     -  \n",
       "77334                      -     -  \n",
       "77335                      -     -  \n",
       "77336                      -     -  \n",
       "77337                      -     -  \n",
       "77338                      -     -  \n",
       "77339                      -     -  \n",
       "77340                      -     -  \n",
       "77341                      -     -  \n",
       "\n",
       "[58 rows x 49 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at Japanese consonants\n",
    "jpn = phoible['jpn']\n",
    "jpn[jpn['SegmentClass'] == 'consonant']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "charitable-cleaner",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>7549</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>InventoryID</th>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glottocode</th>\n",
       "      <td>nucl1643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISO6393</th>\n",
       "      <td>jpn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LanguageName</th>\n",
       "      <td>Japanese</td>\n",
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       "      <th>SpecificDialect</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GlyphID</th>\n",
       "      <td>027E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phoneme</th>\n",
       "      <td>ɾ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allophones</th>\n",
       "      <td>ɾʲ ɾ ɺ</td>\n",
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       "    <tr>\n",
       "      <th>Marginal</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>SegmentClass</th>\n",
       "      <td>consonant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Source</th>\n",
       "      <td>spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tone</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stress</th>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>syllabic</th>\n",
       "      <td>-</td>\n",
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       "    <tr>\n",
       "      <th>short</th>\n",
       "      <td>-</td>\n",
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       "      <th>long</th>\n",
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       "      <th>consonantal</th>\n",
       "      <td>+</td>\n",
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       "    <tr>\n",
       "      <th>sonorant</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>continuant</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delayedRelease</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>approximant</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tap</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trill</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nasal</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lateral</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>labial</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>round</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>labiodental</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coronal</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anterior</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distributed</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>strident</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dorsal</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>high</th>\n",
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       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>0</td>\n",
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       "      <th>front</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>back</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tense</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retractedTongueRoot</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>advancedTongueRoot</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>periodicGlottalSource</th>\n",
       "      <td>+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epilaryngealSource</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spreadGlottis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>constrictedGlottis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fortis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lenis</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>raisedLarynxEjective</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loweredLarynxImplosive</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>click</th>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                             7549\n",
       "InventoryID                   197\n",
       "Glottocode               nucl1643\n",
       "ISO6393                       jpn\n",
       "LanguageName             Japanese\n",
       "SpecificDialect               NaN\n",
       "GlyphID                      027E\n",
       "Phoneme                         ɾ\n",
       "Allophones                 ɾʲ ɾ ɺ\n",
       "Marginal                      NaN\n",
       "SegmentClass            consonant\n",
       "Source                        spa\n",
       "tone                            0\n",
       "stress                          -\n",
       "syllabic                        -\n",
       "short                           -\n",
       "long                            -\n",
       "consonantal                     +\n",
       "sonorant                        +\n",
       "continuant                      +\n",
       "delayedRelease                  0\n",
       "approximant                     +\n",
       "tap                             +\n",
       "trill                           -\n",
       "nasal                           -\n",
       "lateral                         -\n",
       "labial                          -\n",
       "round                           0\n",
       "labiodental                     0\n",
       "coronal                         +\n",
       "anterior                        +\n",
       "distributed                     -\n",
       "strident                        -\n",
       "dorsal                          -\n",
       "high                            0\n",
       "low                             0\n",
       "front                           0\n",
       "back                            0\n",
       "tense                           0\n",
       "retractedTongueRoot             -\n",
       "advancedTongueRoot              -\n",
       "periodicGlottalSource           +\n",
       "epilaryngealSource              -\n",
       "spreadGlottis                   -\n",
       "constrictedGlottis              -\n",
       "fortis                          -\n",
       "lenis                           -\n",
       "raisedLarynxEjective            -\n",
       "loweredLarynxImplosive          -\n",
       "click                           -"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at Japanese 'ɾ' in more detail\n",
    "pd.DataFrame(jpn[jpn['Phoneme'] == 'ɾ'].iloc[0].T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "periodic-evans",
   "metadata": {},
   "outputs": [],
   "source": [
    "# more helper functions for measuring similarities (as Jaccard index) of each pair of phonemic inventories\n",
    "from operator import itemgetter\n",
    "from itertools import combinations\n",
    "from itertools import product\n",
    "\n",
    "columns = 'lang1:ISO6393', 'lang2:ISO6393', 'lang1:LanguageName', 'lang2:LanguageName', 'JaccardIndex'\n",
    "\n",
    "def rank_similar(phonemes=phonemes):\n",
    "    similarities = {(l1, l2): jaccard(phonemes(l1), phonemes(l2)) for (l1, l2) in combinations(phoible, r=2)}\n",
    "    return pd.DataFrame(\n",
    "        ((l1, l2, languages[l1], languages[l2], score)\n",
    "        for (l1, l2), score in sorted(similarities.items(), key=itemgetter(1), reverse=True)),\n",
    "        columns=columns\n",
    "    )\n",
    "\n",
    "def rank_similar_to_languge(language, phonemes=phonemes):\n",
    "    lang_pairs =list(product([language], list(set(phoible) - {language})))\n",
    "    similarities = {(l1, l2): jaccard(phonemes(l1), phonemes(l2)) for (l1, l2) in lang_pairs}\n",
    "    return pd.DataFrame(\n",
    "        ((l1, l2, languages[l1], languages[l2], score)\n",
    "        for (l1, l2), score in sorted(similarities.items(), key=itemgetter(1), reverse=True)),\n",
    "        columns=columns\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "educational-rehabilitation",
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lang1:ISO6393</th>\n",
       "      <th>lang2:ISO6393</th>\n",
       "      <th>lang1:LanguageName</th>\n",
       "      <th>lang2:LanguageName</th>\n",
       "      <th>JaccardIndex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>xwe</td>\n",
       "      <td>xwl</td>\n",
       "      <td>xwela</td>\n",
       "      <td>western xwla</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>xwe</td>\n",
       "      <td>kqk</td>\n",
       "      <td>xwela</td>\n",
       "      <td>kotafon</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>xwl</td>\n",
       "      <td>kqk</td>\n",
       "      <td>western xwla</td>\n",
       "      <td>kotafon</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>nzi</td>\n",
       "      <td>aha</td>\n",
       "      <td>Nzema</td>\n",
       "      <td>Ahanta</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gru</td>\n",
       "      <td>mvz</td>\n",
       "      <td>Goggot</td>\n",
       "      <td>Masqan</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191366</th>\n",
       "      <td>wrs</td>\n",
       "      <td>mvi</td>\n",
       "      <td>WARIS</td>\n",
       "      <td>Miyako</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191367</th>\n",
       "      <td>jup</td>\n",
       "      <td>mvi</td>\n",
       "      <td>Hup</td>\n",
       "      <td>Miyako</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191368</th>\n",
       "      <td>cro</td>\n",
       "      <td>mvi</td>\n",
       "      <td>Crow</td>\n",
       "      <td>Miyako</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191369</th>\n",
       "      <td>yab</td>\n",
       "      <td>mvi</td>\n",
       "      <td>Yuhup</td>\n",
       "      <td>Miyako</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191370</th>\n",
       "      <td>atv</td>\n",
       "      <td>ars</td>\n",
       "      <td>Northern Altai</td>\n",
       "      <td>Najdi Arabic</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2191371 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        lang1:ISO6393 lang2:ISO6393 lang1:LanguageName lang2:LanguageName  \\\n",
       "0                 xwe           xwl              xwela       western xwla   \n",
       "1                 xwe           kqk              xwela            kotafon   \n",
       "2                 xwl           kqk       western xwla            kotafon   \n",
       "3                 nzi           aha              Nzema             Ahanta   \n",
       "4                 gru           mvz             Goggot             Masqan   \n",
       "...               ...           ...                ...                ...   \n",
       "2191366           wrs           mvi              WARIS             Miyako   \n",
       "2191367           jup           mvi                Hup             Miyako   \n",
       "2191368           cro           mvi               Crow             Miyako   \n",
       "2191369           yab           mvi              Yuhup             Miyako   \n",
       "2191370           atv           ars     Northern Altai       Najdi Arabic   \n",
       "\n",
       "         JaccardIndex  \n",
       "0                 1.0  \n",
       "1                 1.0  \n",
       "2                 1.0  \n",
       "3                 1.0  \n",
       "4                 1.0  \n",
       "...               ...  \n",
       "2191366           0.0  \n",
       "2191367           0.0  \n",
       "2191368           0.0  \n",
       "2191369           0.0  \n",
       "2191370           0.0  \n",
       "\n",
       "[2191371 rows x 5 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rank the most similar phonemic inventory pairs (takes a while to compute)\n",
    "rank_similar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "instrumental-jones",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
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       "      <td>deu</td>\n",
       "      <td>English</td>\n",
       "      <td>German</td>\n",
       "      <td>0.407407</td>\n",
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       "      <th>1</th>\n",
       "      <td>eng</td>\n",
       "      <td>agq</td>\n",
       "      <td>English</td>\n",
       "      <td>Aghem</td>\n",
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       "      <th>2</th>\n",
       "      <td>eng</td>\n",
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       "      <th>3</th>\n",
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       "      <td>English</td>\n",
       "      <td>Langi</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>eng</td>\n",
       "      <td>xsm</td>\n",
       "      <td>English</td>\n",
       "      <td>Kasɩm</td>\n",
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       "    <tr>\n",
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       "      <th>2088</th>\n",
       "      <td>eng</td>\n",
       "      <td>ggr</td>\n",
       "      <td>English</td>\n",
       "      <td>Aghu Tharnggala</td>\n",
       "      <td>0.080357</td>\n",
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       "    <tr>\n",
       "      <th>2089</th>\n",
       "      <td>eng</td>\n",
       "      <td>zmv</td>\n",
       "      <td>English</td>\n",
       "      <td>Rimanggudinhma</td>\n",
       "      <td>0.078947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2090</th>\n",
       "      <td>eng</td>\n",
       "      <td>new</td>\n",
       "      <td>English</td>\n",
       "      <td>NEWARI</td>\n",
       "      <td>0.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2091</th>\n",
       "      <td>eng</td>\n",
       "      <td>ggk</td>\n",
       "      <td>English</td>\n",
       "      <td>Kungarakany</td>\n",
       "      <td>0.074074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2092</th>\n",
       "      <td>eng</td>\n",
       "      <td>xgm</td>\n",
       "      <td>English</td>\n",
       "      <td>Dharumbal</td>\n",
       "      <td>0.064815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2093 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     lang1:ISO6393 lang2:ISO6393 lang1:LanguageName lang2:LanguageName  \\\n",
       "0              eng           deu            English             German   \n",
       "1              eng           agq            English              Aghem   \n",
       "2              eng           jer            English               Jere   \n",
       "3              eng           lag            English              Langi   \n",
       "4              eng           xsm            English              Kasɩm   \n",
       "...            ...           ...                ...                ...   \n",
       "2088           eng           ggr            English    Aghu Tharnggala   \n",
       "2089           eng           zmv            English     Rimanggudinhma   \n",
       "2090           eng           new            English             NEWARI   \n",
       "2091           eng           ggk            English        Kungarakany   \n",
       "2092           eng           xgm            English          Dharumbal   \n",
       "\n",
       "      JaccardIndex  \n",
       "0         0.407407  \n",
       "1         0.386792  \n",
       "2         0.366337  \n",
       "3         0.364486  \n",
       "4         0.362745  \n",
       "...            ...  \n",
       "2088      0.080357  \n",
       "2089      0.078947  \n",
       "2090      0.076923  \n",
       "2091      0.074074  \n",
       "2092      0.064815  \n",
       "\n",
       "[2093 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rank all phonemeic inventories by similarity to English\n",
    "rank_similar_to_languge('eng')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "sunset-chancellor",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
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       "      <td>khl</td>\n",
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       "      <th>2</th>\n",
       "      <td>mph</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mph</td>\n",
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       "      <td>Swahili</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mph</td>\n",
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       "    <tr>\n",
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       "      <th>2191366</th>\n",
       "      <td>uig</td>\n",
       "      <td>xrd</td>\n",
       "      <td>Uyghur</td>\n",
       "      <td>Gundungurra</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191367</th>\n",
       "      <td>uig</td>\n",
       "      <td>xni</td>\n",
       "      <td>Uyghur</td>\n",
       "      <td>Ngarigu</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191368</th>\n",
       "      <td>uig</td>\n",
       "      <td>gcd</td>\n",
       "      <td>Uyghur</td>\n",
       "      <td>Gangalidda</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191369</th>\n",
       "      <td>uig</td>\n",
       "      <td>gyd</td>\n",
       "      <td>Uyghur</td>\n",
       "      <td>Yangkaralda</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191370</th>\n",
       "      <td>uig</td>\n",
       "      <td>gwu</td>\n",
       "      <td>Uyghur</td>\n",
       "      <td>Guwamu</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2191371 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        lang1:ISO6393 lang2:ISO6393 lang1:LanguageName lang2:LanguageName  \\\n",
       "0                 zsm           bum     Standard Malay               Bulu   \n",
       "1                 khl           fia             KALIAI             NUBIAN   \n",
       "2                 mph           tun              Mawng             TUNICA   \n",
       "3                 mph           swh              Mawng            Swahili   \n",
       "4                 mph           bom              Mawng              Berom   \n",
       "...               ...           ...                ...                ...   \n",
       "2191366           uig           xrd             Uyghur        Gundungurra   \n",
       "2191367           uig           xni             Uyghur            Ngarigu   \n",
       "2191368           uig           gcd             Uyghur         Gangalidda   \n",
       "2191369           uig           gyd             Uyghur        Yangkaralda   \n",
       "2191370           uig           gwu             Uyghur             Guwamu   \n",
       "\n",
       "         JaccardIndex  \n",
       "0                 1.0  \n",
       "1                 1.0  \n",
       "2                 1.0  \n",
       "3                 1.0  \n",
       "4                 1.0  \n",
       "...               ...  \n",
       "2191366           0.0  \n",
       "2191367           0.0  \n",
       "2191368           0.0  \n",
       "2191369           0.0  \n",
       "2191370           0.0  \n",
       "\n",
       "[2191371 rows x 5 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the most similar vocalic inventories (takes a while to compute)\n",
    "rank_similar(phonemes=vowels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "yellow-luxury",
   "metadata": {},
   "outputs": [
    {
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       "      <th>3</th>\n",
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       "      <td>btg</td>\n",
       "      <td>English</td>\n",
       "      <td>Bété</td>\n",
       "      <td>0.283582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>eng</td>\n",
       "      <td>ksf</td>\n",
       "      <td>English</td>\n",
       "      <td>Bafia</td>\n",
       "      <td>0.281250</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>kaa</td>\n",
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       "      <td>Karakalpak</td>\n",
       "      <td>0.028169</td>\n",
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       "    <tr>\n",
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       "      <td>eng</td>\n",
       "      <td>ega</td>\n",
       "      <td>English</td>\n",
       "      <td>Ega</td>\n",
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       "    <tr>\n",
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       "      <td>eng</td>\n",
       "      <td>abk</td>\n",
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       "      <td>Abkhaz</td>\n",
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       "    <tr>\n",
       "      <th>2091</th>\n",
       "      <td>eng</td>\n",
       "      <td>dib</td>\n",
       "      <td>English</td>\n",
       "      <td>Dinka, South Central</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2092</th>\n",
       "      <td>eng</td>\n",
       "      <td>dip</td>\n",
       "      <td>English</td>\n",
       "      <td>DINKA</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2093 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     lang1:ISO6393 lang2:ISO6393 lang1:LanguageName    lang2:LanguageName  \\\n",
       "0              eng           shk            English               Shilluk   \n",
       "1              eng           nld            English                 Dutch   \n",
       "2              eng           kfa            English               Kod̩agu   \n",
       "3              eng           btg            English                  Bété   \n",
       "4              eng           ksf            English                 Bafia   \n",
       "...            ...           ...                ...                   ...   \n",
       "2088           eng           kaa            English            Karakalpak   \n",
       "2089           eng           ega            English                   Ega   \n",
       "2090           eng           abk            English                Abkhaz   \n",
       "2091           eng           dib            English  Dinka, South Central   \n",
       "2092           eng           dip            English                 DINKA   \n",
       "\n",
       "      JaccardIndex  \n",
       "0         0.303030  \n",
       "1         0.294118  \n",
       "2         0.287879  \n",
       "3         0.283582  \n",
       "4         0.281250  \n",
       "...            ...  \n",
       "2088      0.028169  \n",
       "2089      0.014706  \n",
       "2090      0.000000  \n",
       "2091      0.000000  \n",
       "2092      0.000000  \n",
       "\n",
       "[2093 rows x 5 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rank all vocalic inventories by similarity to English\n",
    "rank_similar_to_languge('eng', phonemes=vowels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "binding-redhead",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lang1:ISO6393</th>\n",
       "      <th>lang2:ISO6393</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bao</td>\n",
       "      <td>cbc</td>\n",
       "      <td>Waimaha</td>\n",
       "      <td>Karapanã</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>bao</td>\n",
       "      <td>sri</td>\n",
       "      <td>Waimaha</td>\n",
       "      <td>Siriano</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bao</td>\n",
       "      <td>tue</td>\n",
       "      <td>Waimaha</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bao</td>\n",
       "      <td>yui</td>\n",
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       "      <td>Yurutí</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ahp</td>\n",
       "      <td>ahi</td>\n",
       "      <td>AIZI</td>\n",
       "      <td>Aizi, Tiagba</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>2191366</th>\n",
       "      <td>xav</td>\n",
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       "    <tr>\n",
       "      <th>2191367</th>\n",
       "      <td>yab</td>\n",
       "      <td>mvi</td>\n",
       "      <td>Yuhup</td>\n",
       "      <td>Miyako</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2191368</th>\n",
       "      <td>bsn</td>\n",
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       "      <td>Tofa</td>\n",
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       "    <tr>\n",
       "      <th>2191369</th>\n",
       "      <td>nhd</td>\n",
       "      <td>slr</td>\n",
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       "      <td>Salar</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2191370</th>\n",
       "      <td>atv</td>\n",
       "      <td>ars</td>\n",
       "      <td>Northern Altai</td>\n",
       "      <td>Najdi Arabic</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2191371 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        lang1:ISO6393 lang2:ISO6393 lang1:LanguageName lang2:LanguageName  \\\n",
       "0                 bao           cbc            Waimaha           Karapanã   \n",
       "1                 bao           sri            Waimaha            Siriano   \n",
       "2                 bao           tue            Waimaha             Tuyuca   \n",
       "3                 bao           yui            Waimaha             Yurutí   \n",
       "4                 ahp           ahi               AIZI       Aizi, Tiagba   \n",
       "...               ...           ...                ...                ...   \n",
       "2191366           xav           slr            Xavánte              Salar   \n",
       "2191367           yab           mvi              Yuhup             Miyako   \n",
       "2191368           bsn           kim    Barasana-Eduria               Tofa   \n",
       "2191369           nhd           slr           Nhandeva              Salar   \n",
       "2191370           atv           ars     Northern Altai       Najdi Arabic   \n",
       "\n",
       "         JaccardIndex  \n",
       "0                 1.0  \n",
       "1                 1.0  \n",
       "2                 1.0  \n",
       "3                 1.0  \n",
       "4                 1.0  \n",
       "...               ...  \n",
       "2191366           0.0  \n",
       "2191367           0.0  \n",
       "2191368           0.0  \n",
       "2191369           0.0  \n",
       "2191370           0.0  \n",
       "\n",
       "[2191371 rows x 5 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the most similar consonantal inventories (takes a while to compute)\n",
    "rank_similar(phonemes=consonants)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "brutal-logan",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lang1:ISO6393</th>\n",
       "      <th>lang2:ISO6393</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>eng</td>\n",
       "      <td>rmy</td>\n",
       "      <td>English</td>\n",
       "      <td>Vlax Romani</td>\n",
       "      <td>0.658537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>eng</td>\n",
       "      <td>deu</td>\n",
       "      <td>English</td>\n",
       "      <td>German</td>\n",
       "      <td>0.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>eng</td>\n",
       "      <td>bgj</td>\n",
       "      <td>English</td>\n",
       "      <td>Bangolan</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>eng</td>\n",
       "      <td>bzj</td>\n",
       "      <td>English</td>\n",
       "      <td>Belizean Creole</td>\n",
       "      <td>0.647059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>eng</td>\n",
       "      <td>kcn</td>\n",
       "      <td>English</td>\n",
       "      <td>Nubi</td>\n",
       "      <td>0.641026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2088</th>\n",
       "      <td>eng</td>\n",
       "      <td>wnc</td>\n",
       "      <td>English</td>\n",
       "      <td>WANTOAT</td>\n",
       "      <td>0.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2089</th>\n",
       "      <td>eng</td>\n",
       "      <td>ggk</td>\n",
       "      <td>English</td>\n",
       "      <td>Kungarakany</td>\n",
       "      <td>0.085106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2090</th>\n",
       "      <td>eng</td>\n",
       "      <td>xgm</td>\n",
       "      <td>English</td>\n",
       "      <td>Dharumbal</td>\n",
       "      <td>0.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2091</th>\n",
       "      <td>eng</td>\n",
       "      <td>ggr</td>\n",
       "      <td>English</td>\n",
       "      <td>Aghu Tharnggala</td>\n",
       "      <td>0.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2092</th>\n",
       "      <td>eng</td>\n",
       "      <td>irh</td>\n",
       "      <td>English</td>\n",
       "      <td>IRARUTU</td>\n",
       "      <td>0.069767</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2093 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     lang1:ISO6393 lang2:ISO6393 lang1:LanguageName lang2:LanguageName  \\\n",
       "0              eng           rmy            English        Vlax Romani   \n",
       "1              eng           deu            English             German   \n",
       "2              eng           bgj            English           Bangolan   \n",
       "3              eng           bzj            English    Belizean Creole   \n",
       "4              eng           kcn            English               Nubi   \n",
       "...            ...           ...                ...                ...   \n",
       "2088           eng           wnc            English            WANTOAT   \n",
       "2089           eng           ggk            English        Kungarakany   \n",
       "2090           eng           xgm            English          Dharumbal   \n",
       "2091           eng           ggr            English    Aghu Tharnggala   \n",
       "2092           eng           irh            English            IRARUTU   \n",
       "\n",
       "      JaccardIndex  \n",
       "0         0.658537  \n",
       "1         0.650000  \n",
       "2         0.648649  \n",
       "3         0.647059  \n",
       "4         0.641026  \n",
       "...            ...  \n",
       "2088      0.090909  \n",
       "2089      0.085106  \n",
       "2090      0.083333  \n",
       "2091      0.080000  \n",
       "2092      0.069767  \n",
       "\n",
       "[2093 rows x 5 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rank all consonantal inventories by similarity to English\n",
    "rank_similar_to_languge('eng', phonemes=consonants)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eastern-frontier",
   "metadata": {},
   "source": [
    "## UMAP\n",
    "Paper: https://arxiv.org/abs/1802.03426  \n",
    "McInnes, L., Healy, J., & Melville, J. (2018). Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426.  \n",
    "Homepage: https://github.com/lmcinnes/umap  \n",
    "SciPy 2018 talk: https://www.youtube.com/watch?v=nq6iPZVUxZU  \n",
    "\n",
    "The following code computes a UMAP projection of the phonemic inventory.  This embeds the high-dimensional feature vector space into a 2D space for the purpose of visualizing phoneme similarity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "interstate-commitment",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from adjustText import adjust_text\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "np.random.seed(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "53639bef",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/zach/.pyenv/versions/3.11.1/lib/python3.11/site-packages/umap/distances.py:1063: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n",
      "  @numba.jit()\n",
      "/Users/zach/.pyenv/versions/3.11.1/lib/python3.11/site-packages/umap/distances.py:1071: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n",
      "  @numba.jit()\n",
      "/Users/zach/.pyenv/versions/3.11.1/lib/python3.11/site-packages/umap/distances.py:1086: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n",
      "  @numba.jit()\n",
      "/Users/zach/.pyenv/versions/3.11.1/lib/python3.11/site-packages/umap/umap_.py:660: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n",
      "  @numba.jit()\n"
     ]
    }
   ],
   "source": [
    "import umap.umap_ as umap\n",
    "#import umap # (use this if the previous import doesn't work)\n",
    "reducer = umap.UMAP()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2bbf2958",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['0', '-', '-', ..., '-', '-', '-'],\n",
       "       ['0', '-', '-', ..., '-', '-', '-'],\n",
       "       ['0', '-', '-', ..., '-', '-', '-'],\n",
       "       ...,\n",
       "       ['0', '-', '+', ..., '-', '-', '0'],\n",
       "       ['0', '-', '+', ..., '-', '-', '0'],\n",
       "       ['0', '-', '+', ..., '-', '-', '0']], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# prepare English phoneme feature vectors\n",
    "language = 'eng'\n",
    "data = phoible[language][phoible[language].columns[11:]].values\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c4d09bca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "00ab26fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(370, 2)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# map the phoneme feature values to integers\n",
    "value_map = {\n",
    "    '+': 2,\n",
    "    '+,-': 1,\n",
    "    '0': 0,\n",
    "    '-,+': -1,\n",
    "    '-': -2\n",
    "}\n",
    "mapped_data = np.array([[value_map[v] for v in row] for row in data])\n",
    "# scale the data\n",
    "scaled_data = StandardScaler().fit_transform(mapped_data)\n",
    "# compute UMAP embedding projected into 2D\n",
    "embedding = reducer.fit_transform(scaled_data)\n",
    "embedding.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "075cff48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'UMAP projection of English phonemes')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 434,
       "width": 555
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# separate x, y dimensions\n",
    "x = embedding[:, 0]\n",
    "y = embedding[:, 1]\n",
    "# get phoneme labels for each data point\n",
    "labels = phoible['eng']['Phoneme'].values\n",
    "# set color of each phoneme depending on its 'SegmentClass' (vowel or consonant)\n",
    "colors = [sns.color_palette()[c] for c in phoible['eng']['SegmentClass'].map(({'consonant':0, 'vowel':1}))]\n",
    "# plot the 2D embeddings (takes a while to plot and adjust the text labels)\n",
    "plt.scatter(x, y, c=colors)\n",
    "texts = []\n",
    "seen = set()\n",
    "for (label, x, y) in zip(labels, x, y):\n",
    "    if label not in seen: # some phonemes are repeated, so we skip labeling them multiple times\n",
    "        texts.append(plt.text(x, y, f'/{label}/'))\n",
    "        seen.add(label)\n",
    "adjust_text(texts) # this is a nice function that tries to keep text labels legible and not overlapping\n",
    "\n",
    "plt.gca().set_aspect('equal', 'datalim')\n",
    "plt.title('UMAP projection of English phonemes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "exact-library",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}